SAS named a leader in predictive analytics and machine learning solutions by independent research firm

SAS was named a leader in The Forrester Wave™: Predictive Analytics and Machine Learning Solutions, Q1 2017, earning the highest scores among the 14 vendors in each of the three categories evaluated: current offering, strategy and market presence.

The new report follows SAS being named in December as the only leader in The Forrester Wave™: Enterprise Insight Platform Suites, Q4 2016. In that report, Forrester noted that SAS “leads the pack” of evaluated vendors and was cited among vendors that “differentiated themselves … with a clear vision of offering an insight platform that supports the implementation of insight at the point of decision.”                       

The predictive analytics and machine learning report said: “SAS reimagines its data science portfolio. SAS is unifying its comprehensive portfolio of data science solutions under SAS Visual Suite (SAS Visual Analytics, SAS Visual Statistics, SAS Visual Data Mining and Machine Learning). It brings together world-class data prep, visualization, data analysis, model building and model deployment. This unified tooling approach provides a consistent user experience that data scientists need to build even the most sophisticated models.

“SAS’ vision for data science is not limited to innovation in tools. It has been quick to jump on new, promising analytical methods across multiple disciplines, such as statistics, econometrics, optimization, machine learning, deep learning, and natural language interaction. It recently introduced support for calling SAS analytics from Python, Java, and Lua, leveraging open source data science notebooks.”

Into the future

SAS^® Viya™, an open, cloud-ready analytics platform, was cited in The Forrester Wave™: Enterprise Insight Platform Suites, Q4 2016. SAS Viya applications offer fast, distributed processing with integrated data prep, visualization, analytics and model management. The product portfolio supports a wide range of user types including business professionals, analysts, statisticians, data scientists and executives.  It is a platform designed for fostering collaboration between different user types to make analytics pervasive in the organization.

“The evolution of analytics continues with our SAS Viya platform,” said Saurabh Gupta, Director for the SAS Analytics Product line. “Enterprises are clamoring for powerful analytics to help them drive innovation and competitive differentiation. SAS has been their ‘go-to’ choice for analytics insights and decisions, and we’re continuing our leadership with SAS Viya.”

To better understand how machine learning automates analytical model building, please read “Machine Learning: What it is and why it matters.”